This workshop explores how Human-Centered XAI and the Question-Driven Design framework can be used to systematically discover user explainability needs for AVs, creating a shared resource that can guide future research, UI design, and evaluation of explainable automated driving systems.
Krishna Sahithi Karur, Andreas Riener, Philipp Wintersberger et al.· Adjunct Proceedings of the 1...· 0 citations
Explanations in automated vehicles have been proposed to support users’ understanding, trust, and acceptance of automated driving behavior. However, many explanation interfaces remain static interventions, even though users’ information needs may vary depending on driving context, familiarity, perceived criticality, an...
Philipp Asteriou, Ambika Shahu, Philipp Wintersberger· Adjunct Proceedings of the 1...· 0 citations
As automated vehicles (AVs) are increasingly deployed in real-world environments, users often do not understand what decisions their vehicles are making, or why. Explainable AI (XAI) offers a promising path toward transparency, yet most existing approaches remain algorithm-centric and inaccessible to end users. This wo...
Krishna Sahithi Karur, Andreas Riener, Philipp Wintersberger et al.· Adjunct Proceedings of the 1...· 0 citations
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